E118: AI FOMO frenzy, macro update, Fox vs Dominion, US vs China & more with Brad Gerstner

E118: AI FOMO frenzy, macro update, Fox vs Dominion, US vs China & more with Brad Gerstner

All-In PodcastMar 3, 20231h 56m

Chamath Palihapitiya (host), Jason Calacanis (host), David Sacks (host), Narrator, Brad Gerstner (guest), Brad Gerstner (guest), Narrator, David Friedberg (host), Narrator, Guest (guest), Jason Calacanis (host), Guest (guest)

Generative AI boom, platform shift, and venture capital FOMOInterest rates, inflation, and implications for private and public market investingDown rounds, cramdowns, stock-based compensation, and big-tech efficiency drivesOpenAI’s business model, LLM commoditization, and where value will accrue in AIFox vs. Dominion, defamation standards, and media accountabilityUS–China great power competition, TikTok, CHIPS Act, and decouplingUkraine war, US foreign policy strategy, and China’s peace maneuver

In this episode of All-In Podcast, featuring Chamath Palihapitiya and Jason Calacanis, E118: AI FOMO frenzy, macro update, Fox vs Dominion, US vs China & more with Brad Gerstner explores aI gold rush, higher rates, layoffs, and China-US power struggle The episode centers on the generative AI funding boom, with the hosts and guest Brad Gerstner arguing it’s a true platform shift comparable to the internet and mobile, but rife with short‑term FOMO, overfunding, and future wipeouts.

AI gold rush, higher rates, layoffs, and China-US power struggle

The episode centers on the generative AI funding boom, with the hosts and guest Brad Gerstner arguing it’s a true platform shift comparable to the internet and mobile, but rife with short‑term FOMO, overfunding, and future wipeouts.

They connect AI and venture dynamics to a shifting macro environment: higher-for-longer interest rates, pressure on venture returns, down rounds, stock-based compensation excesses, and big-tech layoffs driven by a newfound focus on efficiency.

The discussion broadens into media responsibility (Fox vs. Dominion and defamation law), US–China great power competition (TikTok, CHIPS Act, supply chains), and geopolitical strategy around Ukraine, reflecting rising bipartisan hawkishness on China.

Cultural sidebars include Draymond Green’s critique of Black History Month, legacy admissions at elite universities, and a light-touch correction on previous Stripe analysis, all framed within how power, incentives, and narratives shape outcomes.

Key Takeaways

AI is a real platform shift, but early-stage FOMO will torch a lot of capital.

Gerstner, Chamath, and Sacks agree generative AI is as big as internet or mobile, yet note that with hundreds of startups and high deployment pressure on VCs, most AI companies funded in this wave are unlikely to produce durable value.

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Higher-for-longer interest rates raise the bar for venture and force discipline.

With short-term instruments yielding ~5–6%+, LPs can earn solid returns with little risk, implying VCs must target 20%+ returns, be far more selective, and accept that weak funds and overvalued 2021 vintages will get squeezed.

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In AI, infrastructure, custom silicon, and unique data (“white truffles”) may capture more value than generic models.

Chamath argues foundation models are becoming commoditized and capped in upside; the more durable moats likely sit in chips, cloud-scale compute, and proprietary datasets that materially improve model performance.

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Big tech is pivoting from headcount growth to efficiency, and Elon’s Twitter playbook accelerated that shift.

Meta and Salesforce are cited as examples of CEOs discovering that layoffs, de-layering, and tighter stock-based compensation can speed execution and boost morale, inspiring others to “unleash their inner Elon” within public-market constraints.

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Stock-based compensation has become a hidden, massive shareholder tax that enabled bloat.

Gerstner explains how excluding SBC from “adjusted EBITDA” masked true costs, fueled over-hiring, and diluted shareholders; he calls for comp committees to tie incentives to free cash flow per share and cap dilution around 0. ...

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US–China rivalry is now the organizing principle (“GPC”) of policy, with TikTok as likely collateral damage.

The panel expects partial economic decoupling via CHIPS, IRA, and supply-chain shifts; TikTok is framed as an obvious political target, and ByteDance may be forced into a ban, sale, or spin-out regardless of its actual behavior.

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Media and legal structures struggle to handle deliberate misinformation at scale.

On Fox vs. ...

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Notable Quotes

AI is the next platform shift, in the same way that mobile was the one before, internet was the one before.

Doug Leone (quoted by Jason Calacanis)

Rates are gonna be higher than we like and they’ll stay here longer than we want.

Chamath Palihapitiya

This has been the greatest grift in the history of Silicon Valley, for sure.

Chamath Palihapitiya, on excess stock-based compensation

The truth is founder friendly by definition.

Brad Gerstner

Teach my history from January 1st to December 31st. And then do it again. And then again. And then again.

Draymond Green, on Black history

Questions Answered in This Episode

How should investors distinguish between durable AI infrastructure opportunities and short-lived application-layer hype in this funding cycle?

The episode centers on the generative AI funding boom, with the hosts and guest Brad Gerstner arguing it’s a true platform shift comparable to the internet and mobile, but rife with short‑term FOMO, overfunding, and future wipeouts.

Get the full analysis with uListen AI

What concrete changes should boards and comp committees make to align stock-based compensation with long-term shareholder value instead of masking bloat?

They connect AI and venture dynamics to a shifting macro environment: higher-for-longer interest rates, pressure on venture returns, down rounds, stock-based compensation excesses, and big-tech layoffs driven by a newfound focus on efficiency.

Get the full analysis with uListen AI

In a ‘higher-for-longer’ rate environment, which types of startups and business models are best positioned to outperform the new 5–6% risk-free baseline?

The discussion broadens into media responsibility (Fox vs. ...

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How far should the US go in decoupling from China without triggering excessive inflation or increasing the risk of open conflict?

Cultural sidebars include Draymond Green’s critique of Black History Month, legacy admissions at elite universities, and a light-touch correction on previous Stripe analysis, all framed within how power, incentives, and narratives shape outcomes.

Get the full analysis with uListen AI

If defamation standards like New York Times v. Sullivan were revised, how might that reshape coverage and accountability in legacy and tech media alike?

Get the full analysis with uListen AI

Transcript Preview

Chamath Palihapitiya

You wanna run a marathon at 57 years old?

Jason Calacanis

52. 51, 2, 52.

Chamath Palihapitiya

(laughs) I'll be honest, I miss you. Can you come back to the United States please? I miss you.

Jason Calacanis

I will, I will. I miss you too. I mean, the poker game can't, by definition, be as much fun if I'm not there.

Chamath Palihapitiya

It plays at bigger states and it's more challenging, but it's not as much fun.

Jason Calacanis

There's not as much laughing. What's on the menu tonight for austerity 2023?

Chamath Palihapitiya

The amuse-bouche is a madeleine with, like, a terrine of foie gras.

Jason Calacanis

Fantastic. Uh, in honor of Friedberg?

Chamath Palihapitiya

And then rutabaga, rutabaga salad, and then some duck thing, duck breast.

Jason Calacanis

Ah, you know I love duck.

Chamath Palihapitiya

And then, and then butterscotch panna cotta.

Jason Calacanis

Wow, that is great lineup. And it, you know what? I like the idea we're doing some poultry.

Chamath Palihapitiya

Chef Sean is firing on all cylinders these days.

Jason Calacanis

Uh, he feels very, like, uh, engaged. He was very engaged. Yeah, he's, he's kinda goin' for it.

Chamath Palihapitiya

He's been on.

Jason Calacanis

Yeah, that was quite nice the other day, Brad, because it's austerity measures, we had this incredible dish-

Chamath Palihapitiya

(laughs)

Jason Calacanis

... and we're eating it and then he said, "The caviar's on the bottom."

Chamath Palihapitiya

(laughs)

Jason Calacanis

And I was like, "Oh." So we just, we don't put the caviar on top. We just, just put it on the bottom.

David Sacks

No, no. I get it. No.

Jason Calacanis

Shh, the market's down. Put the caviar on the bottom.

David Sacks

That's Chabais style austerity. Caviar on the bottom.

Jason Calacanis

(laughs)

Chamath Palihapitiya

(laughs)

Jason Calacanis

I'm not lying. Am I lying?

David Sacks

Oh my God.

Chamath Palihapitiya

No, he did say, "Guys, the caviar is on the bottom, not the top this week."

Narrator

Let your winner slide. Rain Man, David Sachs. I'm going all in. And I said- We open sourced it to the fans and they've just gone crazy with it.

Chamath Palihapitiya

Love you, S.I.D.

Narrator

Queen of quinoa. I'm going all in.

Jason Calacanis

All right, Sachs is here everybody, so that means we have a quorum. Hopefully the sultan of science who is, uh, on Wall Street today, uh, taking a company public, so congrats to our bestie, Friedberg.

David Sacks

Ding, ding.

Jason Calacanis

He couldn't make it. He's at a dinner. So with us, the fifth Beatle as it were, Brad Gerstner is here to talk all things macro. Welcome back to the pod. How's life been-

David Sacks

Good to be back.

Jason Calacanis

... for you, Brad?

David Sacks

A little domo arigato to you, Jason-

Jason Calacanis

Yes.

David Sacks

... as you eat your way through Japan.

Jason Calacanis

Yes, I am on my culinary tour. I'll be back Sunday, but I am having the time of my life here.

Chamath Palihapitiya

Are you running AdWords on your food blog or no?

David Sacks

(laughs)

Chamath Palihapitiya

Exactly.

Jason Calacanis

That's what it's come back to. I'm back to the Weblogs Inc. days. I'm just trying to make $2600 a day.

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